Efficient Non-Learning Similar Subtrajectory Search
Summary: First exact non-learning algorithm for similar subtrajectory search achieving O(mn) time (vs. prior O(m n^2)) for most common trajectory distances (WED, DTW, ERP, EDR, Fréchet). Practicality validated with extensive experiments on three real datasets showing large speedups and accuracy. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jiabao Jin
- 2. Peng Cheng
- 3. Lei Chen
- 4. Xuemin Lin
- 5. Wenjie Zhang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 65 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00061977022 |
| 251 | Robust and Fast Similarity Search for Moving Object Trajectories | 2005 | SIGMOD | 0.00030589775 |
| 358 | On The Marriage of Lp-norms and Edit Distance | 2004 | VLDB | 0.00026059337 |
| 1,118 | Finding Time Period-Based Most Frequent Path in Big Trajectory Data | 2013 | SIGMOD | 0.00013851562 |
| 1,127 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD | 0.00013801775 |
| 5,297 | Fast Subtrajectory Similarity Search in Road Networks under Weighted Edit Distance Constraints | 2020 | VLDB | 5.5772847e-05 |
| 5,939 | Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning | 2020 | VLDB | 5.2603518e-05 |
| 6,630 | Demand-Aware Route Planning for Shared Mobility Services | 2020 | VLDB | 4.9808718e-05 |
| 7,153 | EDS: A Segment-based Distance Measure for Sub-trajectory Similarity Search | 2014 | SIGMOD | 4.8108272e-05 |
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